Stanford researchers develop HumanPlus, a humanoid robot that mimics human movements and learns new skills by observation. Discover how this innovative robot can perform tasks like playing piano and ping-pong.
Meet HumanPlus: Stanford's $107K Humanoid Robot That Observes and Imitates Human Actions
Researchers have developed a humanoid robot that can imitate human motions and even learn new abilities by merely following people.
Researchers at Stanford University have created a robot they name “HumanPlus.” The team claims that by observing human behaviour, it can pick up skills like piano playing, ping-pong ball return, and more.
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The humanoid robot mimics human movements by using a whole-body policy and a single RGB camera, according to Zipeng Fu.
According to the researchers, for HumanPlus to learn a task and subsequently perform it step-by-step, it requires 40 hours of human movement data. Additionally, it can use its camera to shadow people and then replicate their actions in real-time.
Using the H1 robot from Unitree as a foundation, hands from Inspire-Robots, and wrists from a different business, the humanoid was constructed. Five feet, nine inches, is the height of the last specimen.
The robot’s open-source architecture allows for future functionality modifications, making it an even another distinctive feature.
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In addition, the researchers have made available a GitHub repository that anybody desiring to construct a comparable model independently can access. The Stanford researchers have also released information about the costs of the several components that go into HumanPlus.
However, obtaining a functional model such as HumanPlus is not inexpensive; according to the team’s approximations, the robot was constructed for approximately $107,000, 445. It will probably be among the less expensive alternatives on the market right now, though, given the number of movements it can mimic and perform.
Humanoid robots are being accepted on many levels and are being trained to perform a variety of duties. In the days to come, their significance is probably going to grow, and the Stanford team’s HumanPlus may also succeed and leave its mark.
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This post was last modified on June 21, 2024 5:31 am
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